Papers with two-staged model

1 papers
Simultaneous Translation with Flexible Policy via Restricted Imitation Learning (P19-1)

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Challenge: Existing approaches to simultaneous translation have been limited and use fixed-latency policies or a complicated two-staged model.
Approach: They propose a single model that adds a “delay” token to the target vocabulary and a restricted dynamic oracle to greatly simplify training.
Outcome: The proposed model achieves better BLEU scores and lower latencies compared to fixed and RL-learned policies on Chinese -> English simultaneous translation.

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